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| Neurodynamics |
| Untertitel:Prerequisites and Abstract |
| Dozent:Prof. Dr. Gordon Pipa |
| Veranstaltungstyp:Vorlesung (Offizielle Lehrveranstaltungen) |
| Beschreibung:Prerequisites: Lineare Algebra, Analysis I In this lecture, we will discuss cutting-edge science that uses dynamical systems, such as networks of neurons to implement computational principles and cognitive functions. We will start with basic concepts of modelling the activity of single neurons. This includes bio-physical models as well as generative models of spiking activity. We learn essential concepts such as attractors, bifurcations, Poincare maps etc to describe and understand the behaviour of dynamical systems. In the second part, we will move to complex dynamical systems such as spiking neuronal networks. We will use these networks to compute information using the concept of Liquid State Machines. To link the knowledge acquired in this course with scientific questions every second lecture a 30 min 3W session is offered. The three big W are: why should I learn this / what for can I use it / how can it be important for my bachelor and master thesis The lecture will be supplemented by a seminar (Neurodynamics) on dynamical systems in neuroscience. This course is intended for Bachelor students in their third term and master students as a compulsory module. |
| Ort:66/E34: Do. 14:00 - 16:00 (13x) Donnerstag, 23.05.2024 16:00 - 18:00, 93/E31: Fr. 12:00 - 14:00 (12x) |
| Semester:SoSe 2024 |
| Zeiten:Do. 14:00 - 16:00 (wöchentlich), Ort: 66/E34,
Fr. 12:00 - 14:00 (wöchentlich) - Tutorial Session, Ort: 93/E31,
Termine am Donnerstag, 23.05.2024 16:00 - 18:00, Ort: 66/E34 Erster Termin:Donnerstag, 04.04.2024 14:00 - 16:00, Ort: 66/E34 |
| Veranstaltungsnummer:8.3047 |
| ECTS-Kreditpunkte:8 |
